31st AAAI 2017: San Francisco, California, USA

• 
  Satinder P. Singh, Shaul Markovitch:
  Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. AAAI Press 2017

Applications

• 
  Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash:
  SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. 3-9
• 
  Franco Berbeglia, Pascal Van Hentenryck:
  Taming the Matthew Effect in Online Markets with Social Influence. 10-16
• 
  Deblina Bhattacharjee, Anand Paul:
  A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm. 17-23
• 
  Weiran Huang, Liang Li, Wei Chen:
  Partitioned Sampling of Public Opinions Based on Their Social Dynamics. 24-30
• 
  Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu:
  Novel Geometric Approach for Global Alignment of PPI Networks. 31-37
• 
  Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong:
  Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach. 38-44
• 
  Shaojie Tang:
  Profit-Driven Team Grouping in Social Networks. 45-51
• 
  Yongxin Yang, Yu Zheng, Timothy M. Hospedales:
  Gated Neural Networks for Option Pricing: Rationality by Design. 52-58
• 
  Muhammad Yousefnezhad, Daoqiang Zhang:
  Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. 59-65
• 
  Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
  Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. 66-72
• 
  Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
  StructInf: Mining Structural Influence from Social Streams. 73-80

Artificial Intelligence and the Web

• 
  Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
  Transitive Hashing Network for Heterogeneous Multimedia Retrieval. 81-87
• 
  Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
  Marrying Uncertainty and Time in Knowledge Graphs. 88-94
• 
  Aleksandr Farseev, Tat-Seng Chua:
  TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning. 95-101
• 
  Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee:
  POI2Vec: Geographical Latent Representation for Predicting Future Visitors. 102-108
• 
  Christian Hadiwinoto, Hwee Tou Ng:
  A Dependency-Based Neural Reordering Model for Statistical Machine Translation. 109-115
• 
  Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang:
  Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. 116-124
• 
  Wataru Inariba, Takuya Akiba, Yuichi Yoshida:
  Random-Radius Ball Method for Estimating Closeness Centrality. 125-131
• 
  Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
  Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. 132-139
• 
  Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang:
  Treatment Effect Estimation with Data-Driven Variable Decomposition. 140-146
• 
  Julien Leblay:
  A Declarative Approach to Data-Driven Fact Checking. 147-153
• 
  Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
  Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. 154-160
• 
  Yishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen M. Meng:
  Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems. 161-167
• 
  Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo:
  Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. 168-174
• 
  Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo:
  Radon - Rapid Discovery of Topological Relations. 175-181
• 
  Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen:
  Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity. 182-188
• 
  Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
  Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. 189-195
• 
  Sida Wang, Xiaojun Wan, Shikang Du:
  Phrase-Based Presentation Slides Generation for Academic Papers. 196-202
• 
  Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang:
  Community Preserving Network Embedding. 203-209
• 
  Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
  CLARE: A Joint Approach to Label Classification and Tag Recommendation. 210-216
• 
  Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye:
  Multiple Source Detection without Knowing the Underlying Propagation Model. 217-223
• 
  Jufeng Yang, Ming Sun, Xiaoxiao Sun:
  Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network. 224-230
• 
  Quanzeng You, Hailin Jin, Jiebo Luo:
  Visual Sentiment Analysis by Attending on Local Image Regions. 231-237
• 
  Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha:
  Correlated Cascades: Compete or Cooperate. 238-244
• 
  Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
  Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem. 245-251
• 
  Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun:
  Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. 252-258
• 
  Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li:
  Expectile Matrix Factorization for Skewed Data Analysis. 259-266

Cognitive Modeling and Cognitive Systems

• 
  Arya Mazumdar, Ankit Singh Rawat:
  Associative Memory Using Dictionary Learning and Expander Decoding. 267-273
• 
  Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen:
  An Integrated Model for Effective Saliency Prediction. 274-281

Game Playing and Interactive Entertainment

• 
  Michael John Schofield, Michael Thielscher:
  The Efficiency of the HyperPlay Technique Over Random Sampling. 282-290

Game Theory and Economic Paradigms

• 
  Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami:
  Market Pricing for Data Streams. 291-297
• 
  Michael Albert, Vincent Conitzer, Peter Stone:
  Automated Design of Robust Mechanisms. 298-304
• 
  Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan:
  Incentivising Monitoring in Open Normative Systems. 305-311
• 
  Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik:
  Envy-Free Mechanisms with Minimum Number of Cuts. 312-318
• 
  Shani Alkoby, David Sarne, Igal Milchtaich:
  Strategic Signaling and Free Information Disclosure in Auctions. 319-327
• 
  Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie:
  Complexity of Manipulating Sequential Allocation. 328-334
• 
  Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh:
  Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. 335-341
• 
  Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti:
  Nash Stability in Social Distance Games. 342-348
• 
  Alkida Balliu, Michele Flammini, Dennis Olivetti:
  On Pareto Optimality in Social Distance Games. 349-355
• 
  Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
  Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms. 356-362
• 
  MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin:
  A Study of Compact Reserve Pricing Languages. 363-368
• 
  Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin:
  Faster and Simpler Algorithm for Optimal Strategies of Blotto Game. 369-375
• 
  Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
  Preference Elicitation For Participatory Budgeting. 376-382
• 
  Kimmo Berg, Tuomas Sandholm:
  Exclusion Method for Finding Nash Equilibrium in Multiplayer Games. 383-389
• 
  Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon:
  Teams in Online Scheduling Polls: Game-Theoretic Aspects. 390-396
• 
  Gianluca Brero, Benjamin Lubin, Sven Seuken:
  Probably Approximately Efficient Combinatorial Auctions via Machine Learning. 397-405
• 
  Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner:
  Phragmén's Voting Methods and Justified Representation. 406-413
• 
  Markus Brill, Jean-François Laslier, Piotr Skowron:
  Multiwinner Approval Rules as Apportionment Methods. 414-420
• 
  Noam Brown, Christian Kroer, Tuomas Sandholm:
  Dynamic Thresholding and Pruning for Regret Minimization. 421-429
• 
  Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris:
  Optimizing Positional Scoring Rules for Rank Aggregation. 430-436
• 
  Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
  On Markov Games Played by Bayesian and Boundedly-Rational Players. 437-443
• 
  Lijie Chen, Pingzhong Tang, Ruosong Wang:
  Bounded Rationality of Restricted Turing Machines. 444-450
• 
  Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger:
  Winner Determination in Huge Elections with MapReduce. 451-458
• 
  Marek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat:
  Approximation and Parameterized Complexity of Minimax Approval Voting. 459-465
• 
  Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis:
  The Computational Complexity of Weighted Greedy Matching. 466-474
• 
  Yuan Deng, Vincent Conitzer:
  Disarmament Games. 473-479
• 
  Yuan Deng, Debmalya Panigrahi, Bo Waggoner:
  The Complexity of Stable Matchings under Substitutable Preferences. 480-486
• 
  John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
  Small Representations of Big Kidney Exchange Graphs. 487-493
• 
  Edith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
  What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. 494-501
• 
  Gabriele Farina, Nicola Gatti:
  Extensive-Form Perfect Equilibrium Computation in Two-Player Games. 502-508
• 
  Itai Feigenbaum, Matthew P. Johnson:
  Selfish Knapsack. 509-515
• 
  Diodato Ferraioli, Carmine Ventre:
  Obvious Strategyproofness Needs Monitoring for Good Approximations. 516-522
• 
  Rupert Freeman, Sébastien Lahaie, David M. Pennock:
  Crowdsourced Outcome Determination in Prediction Markets. 523-529
• 
  Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch:
  Security Games on a Plane. 530-536
• 
  Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu:
  Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. 537-543
• 
  Stephen Gross, Elliot Anshelevich, Lirong Xia:
  Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity. 544-550
• 
  Daisuke Hatano, Yuichi Yoshida:
  Computing Least Cores of Supermodular Cooperative Games. 551-557
• 
  Karel Horák, Branislav Bosanský, Michal Pechoucek:
  Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games. 558-564
• 
  Ayumi Igarashi, Dominik Peters, Edith Elkind:
  Group Activity Selection on Social Networks. 565-571
• 
  Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown:
  Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. 572-578
• 
  Hooyeon Lee, Vassilevska Williams:
  Complexity of the Stable Invitations Problem. 579-585
• 
  Bin Li, Dong Hao, Dengji Zhao, Tao Zhou:
  Mechanism Design in Social Networks. 586-592
• 
  Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An:
  Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. 593-599
• 
  Jiamou Liu, Ziheng Wei:
  Network, Popularity and Social Cohesion: A Game-Theoretic Approach. 600-606
• 
  Yang Liu, Yiling Chen:
  Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. 607-613
• 
  Wenjun Ma, Xudong Luo, Yuncheng Jiang:
  An Ambiguity Aversion Model for Decision Making under Ambiguity. 614-621
• 
  Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi:
  Optimal Pricing for Submodular Valuations with Bounded Curvature. 622-628
• 
  Martin Olsen:
  On Covering Codes and Upper Bounds for the Dimension of Simple Games. 629-634
• 
  Luis E. Ortiz, Mohammad Tanvir Irfan:
  Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure. 635-641
• 
  Dominik Peters:
  Recognising Multidimensional Euclidean Preferences. 642-648
• 
  Dominik Peters, Martin Lackner:
  Preferences Single-Peaked on a Circle. 649-655
• 
  Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz:
  Psychological Forest: Predicting Human Behavior. 656-662
• 
  Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
  Revenue Maximization for Finitely Repeated Ad Auctions. 663-669
• 
  Luis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron:
  Proportional Justified Representation. 670-676
• 
  Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo:
  Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors. 677-683
• 
  Sujoy Sikdar, Sibel Adali, Lirong Xia:
  Mechanism Design for Multi-Type Housing Markets. 684-690
• 
  Sunil Simon, Dominik Wojtczak:
  Constrained Pure Nash Equilibria in Polymatrix Games. 691-697
• 
  Oskar Skibski, Tomasz P. Michalak, Talal Rahwan:
  Axiomatic Characterization of Game-Theoretic Network Centralities. 698-705
• 
  Piotr Krzysztof Skowron, Edith Elkind:
  Social Choice Under Metric Preferences: Scoring Rules and STV. 706-712
• 
  Pingzhong Tang, Yulong Zeng, Song Zuo:
  Fans Economy and All-Pay Auctions with Proportional Allocations. 713-719
• 
  David R. M. Thompson, Neil Newman, Kevin Leyton-Brown:
  The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. 720-727
• 
  Sinong Wang, Fang Liu, Ness B. Shroff:
  Non-Additive Security Games. 728-735
• 
  Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings:
  The Dollar Auction with Spiteful Players. 736-742
• 
  Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause:
  Proper Proxy Scoring Rules. 743-749
• 
  Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu:
  Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. 750-757

Heuristic Search and Optimization

• 
  Abdullah Al-Dujaili, Sundaram Suresh:
  Embedded Bandits for Large-Scale Black-Box Optimization. 758-764
• 
  Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney:
  Reactive Dialectic Search Portfolios for MaxSAT. 765-772
• 
  Andre Biedenkapp, Marius Thomas Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos:
  Efficient Parameter Importance Analysis via Ablation with Surrogates. 773-779
• 
  Eldan Cohen, J. Christopher Beck:
  Problem Difficulty and the Phase Transition in Heuristic Search. 780-786
• 
  Toby O. Davies, Graeme Gange, Peter J. Stuckey:
  Automatic Logic-Based Benders Decomposition with MiniZinc. 787-793
• 
  Cong Fang, Zhouchen Lin:
  Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. 794-800
• 
  Tobias Friedrich, Timo Kötzing, Markus Wagner:
  A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. 801-807
• 
  Stefan Funke, André Nusser, Sabine Storandt:
  The Simultaneous Maze Solving Problem. 808-814
• 
  Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan:
  Going Beyond Primal Treewidth for (M)ILP. 815-821
• 
  Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker:
  Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. 822-829
• 
  Hua Jiang, Chu-Min Li, Felip Manyà:
  An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs. 830-838
• 
  Yuu Jinnai, Alex S. Fukunaga:
  Learning to Prune Dominated Action Sequences in Online Black-Box Planning. 839-845
• 
  Maximilian Katzmann, Christian Komusiewicz:
  Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem. 846-852
• 
  Clément Lecat, Corinne Lucet, Chu-Min Li:
  New Lower Bound for the Minimum Sum Coloring Problem. 853-859
• 
  Qi Lou, Rina Dechter, Alexander T. Ihler:
  Anytime Anyspace AND/OR Search for Bounding the Partition Function. 860-867
• 
  Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
  Dancing with Decision Diagrams: A Combined Approach to Exact Cover. 868-874
• 
  Hong Qian, Yang Yu:
  Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. 875-881
• 
  Mohammad Raza, Sumit Gulwani:
  Automated Data Extraction Using Predictive Program Synthesis. 882-890
• 
  Nicolas Rivera, Carlos Hernández, Jorge A. Baier:
  Grid Pathfinding on the 2k Neighborhoods. 891-897
• 
  Tasuku Soma, Yuichi Yoshida:
  Non-Monotone DR-Submodular Function Maximization. 898-904
• 
  Tasuku Soma, Yuichi Yoshida:
  Regret Ratio Minimization in Multi-Objective Submodular Function Maximization. 905-911
• 
  Nathan R. Sturtevant, Ariel Felner, Malte Helmert:
  Value Compression of Pattern Databases. 912-918
• 
  Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng:
  A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis. 919-925
• 
  Chen Xu, Zhouchen Lin, Hongbin Zha:
  A Unified Convex Surrogate for the Schatten-p Norm. 926-932
• 
  Jie Zhang, Lijun Zhang:
  Efficient Stochastic Optimization for Low-Rank Distance Metric Learning. 933-940

Human-Aware Artificial Intelligence

• 
  Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu:
  Examples-Rules Guided Deep Neural Network for Makeup Recommendation. 941-947
• 
  Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
  Predicting Latent Narrative Mood Using Audio and Physiologic Data. 948-954
• 
  Joseph Kim, Christopher J. Banks, Julie A. Shah:
  Collaborative Planning with Encoding of Users' High-Level Strategies. 955-962

Human Computation and Crowd Sourcing

• 
  Ethan Fast, Eric Horvitz:
  Long-Term Trends in the Public Perception of Artificial Intelligence. 963-969
• 
  Arya Mazumdar, Barna Saha:
  A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. 970-976
• 
  Takeru Sunahase, Yukino Baba, Hisashi Kashima:
  Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. 977-984

Humans and Artificial Intelligence

• 
  Shani Alkoby, David Sarne:
  The Benefit in Free Information Disclosure When Selling Information to People. 985-992
• 
  Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus:
  Psychologically Based Virtual-Suspect for Interrogative Interview Training. 993-1000
• 
  Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
  PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. 1001-1009
• 
  Igor Labutov, Christoph Studer:
  JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading. 1010-1016
• 
  Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
  On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. 1017-1025
• 
  Shan Wu, Shangfei Wang, Qiang Ji:
  Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data. 1026-1033

Knowledge Representation and Reasoning

• 
  Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca:
  On the Computation of Paracoherent Answer Sets. 1034-1040
• 
  Vernon Asuncion, Yan Zhang, Heng Zhang:
  Polynomially Bounded Logic Programs with Function Symbols: A New Decidable. 1041-1047
• 
  Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance:
  Abstraction in Situation Calculus Action Theories. 1048-1055
• 
  Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev:
  Source Information Disclosure in Ontology-Based Data Integration. 1056-1062
• 
  Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
  Ontology-Mediated Queries for Probabilistic Databases. 1063-1069
• 
  Sebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev:
  Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic. 1070-1076
• 
  Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran:
  Solving Advanced Argumentation Problems with Answer-Set Programming. 1077-1083
• 
  Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau:
  Checking the Consistency of Combined Qualitative Constraint Networks. 1084-1090
• 
  Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris:
  Add Data into Business Process Verification: Bridging the Gap between Theory and Practice. 1091-1099
• 
  Jianfeng Du, Hai Wan, Huaguan Ma:
  Practical TBox Abduction Based on Justification Patterns. 1100-1106
• 
  Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava:
  The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. 1107-1113
• 
  Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
  Ontology Materialization by Abstraction Refinement in Horn SHOIF. 1114-1120
• 
  Víctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung:
  Number Restrictions on Transitive Roles in Description Logics with Nominals. 1121-1127
• 
  Emmanuel Hadoux, Anthony Hunter:
  Strategic Sequences of Arguments for Persuasion Using Decision Trees. 1128-1134
• 
  Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
  Preferential Structures for Comparative Probabilistic Reasoning. 1135-1141
• 
  André Hernich, Julio Lemos, Frank Wolter:
  Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach. 1142-1148
• 
  Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon:
  Diagnosability Planning for Controllable Discrete Event Systems. 1149-1155
• 
  Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
  Entropic Causal Inference. 1156-1162
• 
  Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
  SAT Encodings for Distance-Based Belief Merging Operators. 1163-1169
• 
  Joohyung Lee, Zhun Yang:
  LPMLN, Weak Constraints, and P-log. 1170-1177
• 
  Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang:
  Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. 1178-1184
• 
  Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu:
  On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. 1185-1191
• 
  Hengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie:
  Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery. 1192-1198
• 
  Martin Mladenov, Vaishak Belle, Kristian Kersting:
  The Symbolic Interior Point Method. 1199-1205
• 
  Nadeschda Nikitina, Patrick Koopmann:
  Small Is Beautiful: Computing Minimal Equivalent EL Concepts. 1206-1212
• 
  Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
  Compiling Graph Substructures into Sentential Decision Diagrams. 1213-1221
• 
  Christoph Redl:
  Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining. 1222-1228
• 
  Christoph Redl:
  On Equivalence and Inconsistency of Answer Set Programs with External Sources. 1229-1235
• 
  Baoxu Shi, Tim Weninger:
  ProjE: Embedding Projection for Knowledge Graph Completion. 1236-1242
• 
  Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
  Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. 1243-1249
• 
  Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan:
  Causal Discovery Using Regression-Based Conditional Independence Tests. 1250-1256
• 
  Mengxue Zhang, Tushar Mathew, Brendan A. Juba:
  An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction. 1257-1265
• 
  Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks:
  Trust-Sensitive Evolution of DL-Lite Knowledge Bases. 1266-1273

Machine Learning Applications

• 
  Scott Alfeld, Xiaojin Zhu, Paul Barford:
  Explicit Defense Actions Against Test-Set Attacks. 1274-1280
• 
  Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian:
  Multidimensional Scaling on Multiple Input Distance Matrices. 1281-1287
• 
  Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava:
  ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. 1288-1294
• 
  Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
  GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. 1295-1301
• 
  Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis:
  Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. 1302-1308
• 
  Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang:
  A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. 1309-1315
• 
  Li Gao, Jia Wu, Chuan Zhou, Yue Hu:
  Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. 1316-1322
• 
  Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen:
  Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton. 1323-1330
• 
  Xin Geng, Miaogen Ling:
  Soft Video Parsing by Label Distribution Learning. 1331-1337
• 
  Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han:
  Active Learning with Cross-Class Similarity Transfer. 1338-1344
• 
  Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade:
  DeepFix: Fixing Common C Language Errors by Deep Learning. 1345-1351
• 
  Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
  Question Difficulty Prediction for READING Problems in Standard Tests. 1352-1359
• 
  Wendi Ji, Xiaoling Wang:
  Additional Multi-Touch Attribution for Online Advertising. 1360-1366
• 
  Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
  Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. 1367-1373
• 
  Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen:
  Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. 1374-1381
• 
  Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
  Contextual RNN-GANs for Abstract Reasoning Diagram Generation. 1382-1388
• 
  Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson:
  A Framework for Minimal Clustering Modification via Constraint Programming. 1389-1395
• 
  Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein:
  Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. 1396-1402
• 
  Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha:
  ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. 1403-1409
• 
  Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
  Learning with Feature Network and Label Network Simultaneously. 1410-1416
• 
  Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong:
  Collaborative Company Profiling: Insights from an Employee's Perspective. 1417-1423
• 
  Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang:
  ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. 1424-1430
• 
  Feng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu:
  A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. 1431-1437
• 
  Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu:
  On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. 1438-1444
• 
  Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen:
  Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks. 1445-1452
• 
  Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid:
  Data-Driven Approximations to NP-Hard Problems. 1453-1459
• 
  Omar Montasser, Daniel Kifer:
  Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. 1460-1466
• 
  Arun Reddy Nelakurthi, Jingrui He:
  Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization. 1467-1473
• 
  Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
  FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. 1474-1480
• 
  Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka:
  Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. 1481-1487
• 
  Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos:
  Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. 1488-1494
• 
  Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
  Unsupervised Deep Learning for Optical Flow Estimation. 1495-1501
• 
  Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas:
  Low-Rank Linear Cold-Start Recommendation from Social Data. 1502-1508
• 
  Wenling Shang, Justin Chiu, Kihyuk Sohn:
  Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. 1509-1516
• 
  Weiwei Shen, Jun Wang:
  Portfolio Selection via Subset Resampling. 1517-1523
• 
  Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen:
  Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. 1524-1531
• 
  Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi:
  Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. 1532-1538
• 
  Chengxun Shu, Hongyu Zhang:
  Neural Programming by Example. 1539-1545
• 
  Zhiqiang Tao, Hongfu Liu, Yun Fu:
  Simultaneous Clustering and Ensemble. 1546-1552
• 
  Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
  A Deep Hierarchical Approach to Lifelong Learning in Minecraft. 1553-1561
• 
  Tian Tian, Ning Chen, Jun Zhu:
  Learning Attributes from the Crowdsourced Relative Labels. 1562-1568
• 
  Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong:
  Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. 1569-1575
• 
  Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao:
  Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. 1576-1582
• 
  Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang:
  Multiset Feature Learning for Highly Imbalanced Data Classification. 1583-1589
• 
  Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
  Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. 1590-1596
• 
  Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu:
  Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. 1597-1603
• 
  Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar:
  Progressive Prediction of Student Performance in College Programs. 1604-1610
• 
  Linli Xu, Chao Zhang:
  Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. 1611-1617
• 
  Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
  Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. 1618-1625
• 
  Meng Yang, Lin Chen:
  Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification. 1626-1632
• 
  Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
  Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. 1633-1639
• 
  Haiyan Yin, Sinno Jialin Pan:
  Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. 1640-1646
• 
  Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar:
  Personalized Donor-Recipient Matching for Organ Transplantation. 1647-1654
• 
  Junbo Zhang, Yu Zheng, Dekang Qi:
  Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. 1655-1661
• 
  Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You:
  Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction. 1662-1668
• 
  Yan Zhang, Defu Lian, Guowu Yang:
  Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. 1669-1675
• 
  Kai Zhu, Zhen Chen, Lei Ying:
  Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations. 1676-1683

Machine Learning Methods

• 
  Tameem Adel, Cassio Polpo de Campos:
  Learning Bayesian Networks with Incomplete Data by Augmentation. 1684-1690
• 
  Tameem Adel, Han Zhao, Alexander Wong:
  Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. 1691-1697
• 
  Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain:
  Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. 1698-1704
• 
  Francesco Aldà, Benjamin I. P. Rubinstein:
  The Bernstein Mechanism: Function Release under Differential Privacy. 1705-1711
• 
  Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher:
  Heavy-Tailed Analogues of the Covariance Matrix for ICA. 1712-1718
• 
  Shuang Ao, Xiang Li, Charles X. Ling:
  Fast Generalized Distillation for Semi-Supervised Domain Adaptation. 1719-1725
• 
  Pierre-Luc Bacon, Jean Harb, Doina Precup:
  The Option-Critic Architecture. 1726-1734
• 
  Maria-Florina Balcan, Travis Dick, Yishay Mansour:
  Label Efficient Learning by Exploiting Multi-Class Output Codes. 1735-1741
• 
  Stephen Becker, Ban Kawas, Marek Petrik:
  Robust Partially-Compressed Least-Squares. 1742-1748
• 
  Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk:
  Learning Residual Alternating Automata. 1749-1755
• 
  Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
  Resource Constrained Structured Prediction. 1756-1762
• 
  Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
  Cross-Domain Kernel Induction for Transfer Learning. 1763-1769
• 
  Yale Chang, Jennifer G. Dy:
  Informative Subspace Learning for Counterfactual Inference. 1770-1776
• 
  Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
  PAC Identification of a Bandit Arm Relative to a Reward Quantile. 1777-1783
• 
  Morteza Haghir Chehreghani:
  Classification with Minimax Distance Measures. 1784-1790
• 
  Gang Chen:
  Latent Discriminant Analysis with Representative Feature Discovery. 1791-1797
• 
  Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
  Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. 1798-1804
• 
  Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
  Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. 1805-1811
• 
  Zihao Chen, Luo Luo, Zhihua Zhang:
  Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. 1812-1818
• 
  Kamil Andrzej Ciosek, Shimon Whiteson:
  OFFER: Off-Environment Reinforcement Learning. 1819-1825
• 
  Zachary Alan Daniels, Dimitris N. Metaxas:
  Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. 1826-1832
• 
  Sakyasingha Dasgupta, Takayuki Osogami:
  Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction. 1833-1839
• 
  Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli:
  Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. 1840-1846
• 
  Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor:
  Scalable Multitask Policy Gradient Reinforcement Learning. 1847-1853
• 
  Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
  From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. 1854-1860
• 
  Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell:
  A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. 1861-1869
• 
  Mingyu Fan, Xiaojun Chang, Dacheng Tao:
  Structure Regularized Unsupervised Discriminant Feature Analysis. 1870-1876
• 
  Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
  Self-Paced Learning: An Implicit Regularization Perspective. 1877-1883
• 
  Ji Feng, Zhi-Hua Zhou:
  Deep MIML Network. 1884-1890
• 
  Kyle D. Feuz, Diane J. Cook:
  Modeling Skewed Class Distributions by Reshaping the Concept Space. 1891-1897
• 
  Ravi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak:
  On Learning High Dimensional Structured Single Index Models. 1898-1904
• 
  Hongchang Gao, Feiping Nie, Heng Huang:
  Local Centroids Structured Non-Negative Matrix Factorization. 1905-1911
• 
  Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
  Low-Rank Factorization of Determinantal Point Processes. 1912-1918
• 
  Aritra Ghosh, Himanshu Kumar, P. S. Sastry:
  Robust Loss Functions under Label Noise for Deep Neural Networks. 1919-1925
• 
  Chen Gong:
  Exploring Commonality and Individuality for Multi-Modal Curriculum Learning. 1926-1933
• 
  Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
  MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. 1934-1940
• 
  Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus:
  Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. 1941-1947
• 
  Xiawei Guo, Quanming Yao, James Tin-Yau Kwok:
  Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. 1948-1954
• 
  Yuhong Guo:
  Convex Co-Embedding for Matrix Completion with Predictive Side Information. 1955-1961
• 
  Chao Han, Mohamed F. Ghalwash, Zoran Obradovic:
  Continuous Conditional Dependency Network for Structured Regression. 1962-1968
• 
  Junwei Han, Kun Song, Feiping Nie, Xuelong Li:
  Bilateral k-Means Algorithm for Fast Co-Clustering. 1969-1975
• 
  Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
  Alternating Back-Propagation for Generator Network. 1976-1984
• 
  Satoshi Hara, Takanori Maehara:
  Enumerate Lasso Solutions for Feature Selection. 1985-1991
• 
  Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
  Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. 1992-1999
• 
  Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
  Learning Invariant Deep Representation for NIR-VIS Face Recognition. 2000-2006
• 
  Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low:
  A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. 2007-2014
• 
  Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
  Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. 2015-2021
• 
  Brian Hrolenok, Byron Boots, Tucker Hybinette Balch:
  Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. 2022-2028
• 
  Yi-Qi Hu, Hong Qian, Yang Yu:
  Sequential Classification-Based Optimization for Direct Policy Search. 2029-2035
• 
  Zhiwu Huang, Luc J. Van Gool:
  A Riemannian Network for SPD Matrix Learning. 2036-2042
• 
  Zhouyuan Huo, Heng Huang:
  Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. 2043-2049
• 
  Stephanie L. Hyland, Gunnar Rätsch:
  Learning Unitary Operators with Help From u(n). 2050-2058
• 
  Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
  Denoising Criterion for Variational Auto-Encoding Framework. 2059-2065
• 
  Shantanu Jain, Martha White, Predrag Radivojac:
  Recovering True Classifier Performance in Positive-Unlabeled Learning. 2066-2072
• 
  Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu:
  Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. 2073-2079
• 
  Zhao Kang, Chong Peng, Qiang Cheng:
  Twin Learning for Similarity and Clustering: A Unified Kernel Approach. 2080-2086
• 
  Gil Keren, Sivan Sabato, Björn W. Schuller:
  Tunable Sensitivity to Large Errors in Neural Network Training. 2087-2093
• 
  Saehoon Kim, Seungjin Choi:
  Binary Embedding with Additive Homogeneous Kernels. 2094-2100
• 
  Rahul G. Krishnan, Uri Shalit, David Sontag:
  Structured Inference Networks for Nonlinear State Space Models. 2101-2109
• 
  Volodymyr Kuleshov, Stefano Ermon:
  Estimating Uncertainty Online Against an Adversary. 2110-2116
• 
  Atsutoshi Kumagai, Tomoharu Iwata:
  Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. 2117-2123
• 
  Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
  Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. 2124-2132
• 
  Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
  Dynamic Action Repetition for Deep Reinforcement Learning. 2133-2139
• 
  Guillaume Lample, Devendra Singh Chaplot:
  Playing FPS Games with Deep Reinforcement Learning. 2140-2146
• 
  Romain Laroche, Merwan Barlier:
  Transfer Reinforcement Learning with Shared Dynamics. 2147-2153
• 
  Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon:
  Transfer Learning for Deep Learning on Graph-Structured Data. 2154-2160
• 
  Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu:
  Efficient Online Model Adaptation by Incremental Simplex Tableau. 2161-2167
• 
  Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos:
  Multivariate Hawkes Processes for Large-Scale Inference. 2168-2174
• 
  Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
  Self-Paced Multi-Task Learning. 2175-2181
• 
  Haifang Li, Yingce Xia:
  Infinitely Many-Armed Bandits with Budget Constraints. 2182-2188
• 
  Jun Li, Yu Kong, Yun Fu:
  Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. 2189-2195
• 
  Qian Li, Zhichao Wang:
  Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. 2196-2202
• 
  Xuelong Li, Di Hu, Feiping Nie:
  Large Graph Hashing with Spectral Rotation. 2203-2209
• 
  Xutao Li, Yunming Ye, Xiaofei Xu:
  Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting. 2210-2216
• 
  Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou:
  Learning Safe Prediction for Semi-Supervised Regression. 2217-2223
• 
  Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
  A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. 2224-2230
• 
  Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li:
  Balanced Clustering with Least Square Regression. 2231-2237
• 
  Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang:
  Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. 2238-2244
• 
  Jiaming Liu, Yali Wang, Yu Qiao:
  Sparse Deep Transfer Learning for Convolutional Neural Network. 2245-2251
• 
  Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
  Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. 2252-2258
• 
  Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
  Multiple Kernel k-Means with Incomplete Kernels. 2259-2265
• 
  Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
  Optimal Neighborhood Kernel Clustering with Multiple Kernels. 2266-2272
• 
  Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
  Generalization Analysis for Ranking Using Integral Operator. 2273-2279
• 
  Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
  Infinite Kernel Learning: Generalization Bounds and Algorithms. 2280-2286
• 
  Yuanyuan Liu, Fanhua Shang, James Cheng:
  Accelerated Variance Reduced Stochastic ADMM. 2287-2293
• 
  Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
  Semi-Supervised Classifications via Elastic and Robust Embedding. 2294-2300
• 
  Zhuanghua Liu, Ivor W. Tsang:
  Approximate Conditional Gradient Descent on Multi-Class Classification. 2301-2307
• 
  Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
  Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. 2308-2314
• 
  Yifei Ma, Roman Garnett, Jeff G. Schneider:
  Active Search for Sparse Signals with Region Sensing. 2315-2321
• 
  Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic:
  Where to Add Actions in Human-in-the-Loop Reinforcement Learning. 2322-2328
• 
  Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
  Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. 2329-2335
• 
  Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
  Generalization Error Bounds for Optimization Algorithms via Stability. 2336-2342
• 
  Hrushikesh Mhaskar, Qianli Liao, Tomaso A. Poggio:
  When and Why Are Deep Networks Better Than Shallow Ones? 2343-2349
• 
  Martin Mladenov, Leonard Kleinhans, Kristian Kersting:
  Lifted Inference for Convex Quadratic Programs. 2350-2356
• 
  Alejandro Molina, Sriraam Natarajan, Kristian Kersting:
  Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. 2357-2363
• 
  John Moore, Jennifer Neville:
  Deep Collective Inference. 2364-2372
• 
  Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
  Streaming Classification with Emerging New Class by Class Matrix Sketching. 2373-2379
• 
  Yadong Mu, Zhu Liu:
  Deep Hashing: A Joint Approach for Image Signature Learning. 2380-2386
• 
  Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
  Tsallis Regularized Optimal Transport and Ecological Inference. 2387-2393
• 
  Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner:
  The Multivariate Generalised von Mises Distribution: Inference and Applications. 2394-2400
• 
  Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
  Querying Partially Labelled Data to Improve a K-nn Classifier. 2401-2407
• 
  Feiping Nie, Guohao Cai, Xuelong Li:
  Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. 2408-2414
• 
  Feiping Nie, Xiaoqian Wang, Heng Huang:
  Multiclass Capped ℓp-Norm SVM for Robust Classifications. 2415-2421
• 
  Feiping Nie, Wei Zhu, Xuelong Li:
  Unsupervised Large Graph Embedding. 2422-2428
• 
  Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
  Matching Node Embeddings for Graph Similarity. 2429-2435
• 
  U. N. Niranjan, Arun Rajkumar:
  Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. 2436-2442
• 
  Dino Oglic, Roman Garnett, Thomas Gärtner:
  Active Search in Intensionally Specified Structured Spaces. 2443-2449
• 
  Sechan Oh:
  Top-k Hierarchical Classification. 2450-2456
• 
  Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti:
  Unimodal Thompson Sampling for Graph-Structured Arms. 2457-2463
• 
  Yangchen Pan, Adam M. White, Martha White:
  Accelerated Gradient Temporal Difference Learning. 2464-2470
• 
  Hanyang Peng, Yong Fan:
  A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization. 2471-2477
• 
  Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi:
  Cascade Subspace Clustering. 2478-2484
• 
  Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
  Column Networks for Collective Classification. 2485-2491
• 
  Reihaneh Rabbany, Osmar R. Zaïane:
  A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. 2492-2498
• 
  Piyush Rai:
  Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. 2499-2505
• 
  Carlos Riquelme, Ramesh Johari, Baosen Zhang:
  Online Active Linear Regression via Thresholding. 2506-2512
• 
  Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma:
  Adaptive Proximal Average Approximation for Composite Convex Minimization. 2513-2519
• 
  Weiwei Shen, Zhihui Yang, Jun Wang:
  Random Features for Shift-Invariant Kernels with Moment Matching. 2520-2526
• 
  Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun:
  Compressed K-Means for Large-Scale Clustering. 2527-2533
• 
  Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
  Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. 2534-2540
• 
  Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
  Asymmetric Discrete Graph Hashing. 2541-2547
• 
  Jeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim:
  Spectral Clustering with Brainstorming Process for Multi-View Data. 2548-2554
• 
  Kun Song, Feiping Nie, Junwei Han, Xuelong Li:
  Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning. 2555-2561
• 
  Xiaonan Song, Haiping Lu:
  Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. 2562-2568
• 
  Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis:
  Distributed Negative Sampling for Word Embeddings. 2569-2575
• 
  Russell Stewart, Stefano Ermon:
  Label-Free Supervision of Neural Networks with Physics and Domain Knowledge. 2576-2582
• 
  Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
  Unsupervised Learning with Truncated Gaussian Graphical Models. 2583-2589
• 
  Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
  Automatic Curriculum Graph Generation for Reinforcement Learning Agents. 2590-2596
• 
  Erik Talvitie:
  Self-Correcting Models for Model-Based Reinforcement Learning. 2597-2603
• 
  Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang:
  Distant Domain Transfer Learning. 2604-2610
• 
  Cai-Zhi Tang, Min-Ling Zhang:
  Confidence-Rated Discriminative Partial Label Learning. 2611-2617
• 
  Jie Tang, Wendy Hall:
  Cross-Domain Ranking via Latent Space Learning. 2618-2624
• 
  Wei Tang, Gang Hua, Liang Wang:
  How to Train a Compact Binary Neural Network with High Accuracy? 2625-2631
• 
  Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama:
  Policy Search with High-Dimensional Context Variables. 2632-2638
• 
  Stefano Teso, Paolo Dragone, Andrea Passerini:
  Coactive Critiquing: Elicitation of Preferences and Features. 2639-2645
• 
  Philip S. Thomas, Emma Brunskill:
  Importance Sampling with Unequal Support. 2646-2652
• 
  Aristide Charles Yedia Tossou, Christos Dimitrakakis:
  Achieving Privacy in the Adversarial Multi-Armed Bandit. 2653-2659
• 
  Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi:
  Thompson Sampling for Stochastic Bandits with Graph Feedback. 2660-2666
• 
  Sebastian Tschiatschek, Adish Singla, Andreas Krause:
  Selecting Sequences of Items via Submodular Maximization. 2667-2673
• 
  Christiaan Maarten van der Walt, Etienne Barnard:
  Variable Kernel Density Estimation in High-Dimensional Feature Spaces. 2674-2680
• 
  Baiyang Wang, Diego Klabjan:
  Regularization for Unsupervised Deep Neural Nets. 2681-2687
• 
  Hao Wang, Xingjian Shi, Dit-Yan Yeung:
  Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. 2688-2694
• 
  Huazheng Wang, Qingyun Wu, Hongning Wang:
  Factorization Bandits for Interactive Recommendation. 2695-2702
• 
  Li Wang, Qi Mao, Ivor W. Tsang:
  Latent Smooth Skeleton Embedding. 2703-2709
• 
  Po-Wei Wang, Chun-Liang Li, J. Zico Kolter:
  Polynomial Optimization Methods for Matrix Factorization. 2710-2717
• 
  Qianqian Wang, Quanxue Gao:
  Two-Dimensional PCA with F-Norm Minimization. 2718-2724
• 
  Shuyang Wang, Zhengming Ding, Yun Fu:
  Feature Selection Guided Auto-Encoder. 2725-2731
• 
  Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
  Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. 2732-2738
• 
  Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo:
  Fast Online Incremental Learning on Mixture Streaming Data. 2739-2745
• 
  Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
  Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. 2746-2753
• 
  Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia:
  Unbiased Multivariate Correlation Analysis. 2754-2760
• 
  Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
  Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 2761-2767
• 
  Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang:
  Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. 2768-2774
• 
  Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu:
  Rank Ordering Constraints Elimination with Application for Kernel Learning. 2775-2781
• 
  Hai-Ming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang:
  Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. 2782-2788
• 
  Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer:
  Cleaning the Null Space: A Privacy Mechanism for Predictors. 2789-2795
• 
  Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang:
  Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. 2796-2802
• 
  Zheng Xu, Junzhou Huang:
  A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. 2803-2809
• 
  Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao:
  Multi-View Correlated Feature Learning by Uncovering Shared Component. 2810-2816
• 
  Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen:
  A Framework of Online Learning with Imbalanced Streaming Data. 2817-2823
• 
  Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
  TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. 2824-2830
• 
  Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou:
  Deep Learning for Fixed Model Reuse. 2831-2837
• 
  Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
  Learning Deep Latent Space for Multi-Label Classification. 2838-2844
• 
  Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin:
  A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. 2845-2851
• 
  Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
  SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. 2852-2858
• 
  Xiaotian Yu, Michael R. Lyu, Irwin King:
  CBRAP: Contextual Bandits with RAndom Projection. 2859-2866
• 
  Ganzhao Yuan, Bernard Ghanem:
  An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. 2867-2875
• 
  Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam:
  Scalable Feature Selection via Distributed Diversity Maximization. 2876-2883
• 
  Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu:
  Fast Compressive Phase Retrieval under Bounded Noise. 2884-2890
• 
  Jiakai Zhang, Kyunghyun Cho:
  Query-Efficient Imitation Learning for End-to-End Simulated Driving. 2891-2897
• 
  Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
  Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. 2898-2906
• 
  Xiang Zhang, Yann LeCun:
  Universum Prescription: Regularization Using Unlabeled Data. 2907-2913
• 
  Yu Zhang, Qiang Yang:
  Learning Sparse Task Relations in Multi-Task Learning. 2914-2920
• 
  Handong Zhao, Zhengming Ding, Yun Fu:
  Multi-View Clustering via Deep Matrix Factorization. 2921-2927
• 
  Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li:
  SCOPE: Scalable Composite Optimization for Learning on Spark. 2928-2934
• 
  Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
  Lock-Free Optimization for Non-Convex Problems. 2935-2941
• 
  Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao:
  Scalable Graph Embedding for Asymmetric Proximity. 2942-2948
• 
  Yang Zhou, Haiping Lu, Yiu-ming Cheung:
  Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. 2949-2955
• 
  Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos:
  Parametric Dual Maximization for Non-Convex Learning Problems. 2956-2962
• 
  Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu:
  One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. 2963-2969
• 
  Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu:
  Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification. 2970-2976
• 
  Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
  Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. 2977-2984

Multiagent Systems

• 
  Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri:
  Improving Surveillance Using Cooperative Target Observation. 2985-2991
• 
  Palash Dey:
  Query Complexity of Tournament Solutions. 2992-2998
• 
  The Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts:
  Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions. 2999-3005
• 
  Özgür Kafali, Nirav Ajmeri, Munindar P. Singh:
  Kont: Computing Tradeoffs in Normative Multiagent Systems. 3006-3012
• 
  Panagiotis Kouvaros, Alessio Lomuscio:
  Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction. 3013-3020
• 
  Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar:
  Decentralized Planning in Stochastic Environments with Submodular Rewards. 3021-3028
• 
  Marc Neveling, Jörg Rothe:
  Solving Seven Open Problems of Offline and Online Control in Borda Elections. 3029-3035
• 
  Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
  Collective Multiagent Sequential Decision Making Under Uncertainty. 3036-3043
• 
  Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus:
  Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting. 3044-3052

Natural Language Processing and Knowledge Representation

• 
  Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei:
  Improving Multi-Document Summarization via Text Classification. 3053-3059
• 
  Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
  Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. 3060-3066
• 
  Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du:
  Neural Bag-of-Ngrams. 3067-3074
• 
  Ramesh Nallapati, Feifei Zhai, Bowen Zhou:
  SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. 3075-3081
• 
  Subhro Roy, Dan Roth:
  Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. 3082-3088
• 
  Saku Sugawara, Hikaru Yokono, Akiko Aizawa:
  Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. 3089-3096
• 
  Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
  Neural Machine Translation with Reconstruction. 3097-3103
• 
  Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu:
  SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. 3104-3110
• 
  Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen:
  Efficiently Answering Technical Questions - A Knowledge Graph Approach. 3111-3118
• 
  Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen:
  Incorporating Knowledge Graph Embeddings into Topic Modeling. 3119-3126
• 
  Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv:
  A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. 3127-3134

Natural Language Processing and Machine Learning

• 
  Oren Barkan:
  Bayesian Neural Word Embedding. 3135-3143
• 
  Shaosheng Cao, Wei Lu:
  Improving Word Embeddings with Convolutional Feature Learning and Subword Information. 3144-3151
• 
  Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li:
  Joint Copying and Restricted Generation for Paraphrase. 3152-3158
• 
  Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
  Unsupervised Learning of Evolving Relationships Between Literary Characters. 3159-3165
• 
  Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu:
  Translation Prediction with Source Dependency-Based Context Representation. 3166-3172
• 
  Yong Cheng, Yang Liu, Wei Xu:
  Maximum Reconstruction Estimation for Generative Latent-Variable Models. 3173-3179
• 
  Sujatha Das Gollapalli, Xiaoli Li, Peng Yang:
  Incorporating Expert Knowledge into Keyphrase Extraction. 3180-3187
• 
  Jacob Eisenstein:
  Unsupervised Learning for Lexicon-Based Classification. 3188-3194
• 
  Matt Gardner, Jayant Krishnamurthy:
  Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. 3195-3201
• 
  Hongyu Gong, Suma Bhat, Pramod Viswanath:
  Geometry of Compositionality. 3202-3208
• 
  Kaveh Hassani, Won-Sook Lee:
  Disambiguating Spatial Prepositions Using Deep Convolutional Networks. 3209-3215
• 
  Hangfeng He, Xu Sun:
  A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. 3216-3222
• 
  Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang:
  Recurrent Attentional Topic Model. 3223-3229
• 
  Changsheng Liu, Rebecca Hwa:
  Representations of Context in Recognizing the Figurative and Literal Usages of Idioms. 3230-3236
• 
  Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita:
  Deterministic Attention for Sequence-to-Sequence Constituent Parsing. 3237-3243
• 
  Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen:
  S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. 3244-3251
• 
  Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
  Coherent Dialogue with Attention-Based Language Models. 3252-3258
• 
  Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
  Definition Modeling: Learning to Define Word Embeddings in Natural Language. 3259-3266
• 
  Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu:
  Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. 3267-3273
• 
  Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri:
  Condensed Memory Networks for Clinical Diagnostic Inferencing. 3274-3280
• 
  Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
  Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. 3281-3287
• 
  Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
  Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. 3288-3294
• 
  Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
  A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. 3295-3301
• 
  Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu:
  Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. 3302-3308
• 
  Raymond Hendy Susanto, Wei Lu:
  Semantic Parsing with Neural Hybrid Trees. 3309-3315
• 
  Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
  Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. 3316-3322
• 
  Xiaolong Wang, Jingjing Wang, Chengxiang Zhai:
  Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding. 3323-3329
• 
  Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
  Neural Machine Translation Advised by Statistical Machine Translation. 3330-3336
• 
  Huijia Wu, Jiajun Zhang, Chengqing Zong:
  A Dynamic Window Neural Network for CCG Supertagging. 3337-3343
• 
  Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
  Distinguish Polarity in Bag-of-Words Visualization. 3344-3350
• 
  Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
  Topic Aware Neural Response Generation. 3351-3357
• 
  Weidi Xu, Haoze Sun, Chao Deng, Ying Tan:
  Variational Autoencoder for Semi-Supervised Text Classification. 3358-3364
• 
  Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou:
  Neural Models for Sequence Chunking. 3365-3371
• 
  Biao Zhang, Deyi Xiong, Jinsong Su:
  BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. 3372-3378
• 
  Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun:
  Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. 3379-3385
• 
  Ye Zhang, Matthew Lease, Byron C. Wallace:
  Active Discriminative Text Representation Learning. 3386-3392
• 
  Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang:
  Learning Context-Specific Word/Character Embeddings. 3393-3399
• 
  Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He:
  Mechanism-Aware Neural Machine for Dialogue Response Generation. 3400-3407

Natural Language Processing and Text Mining

• 
  Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
  Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. 3408-3414
• 
  Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
  Using Discourse Signals for Robust Instructor Intervention Prediction. 3415-3421
• 
  Yanju Chen, Rong Pan:
  Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. 3422-3428
• 
  Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
  Unsupervised Sentiment Analysis with Signed Social Networks. 3429-3435
• 
  Ying Ding, Jianfei Yu, Jing Jiang:
  Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction. 3436-3442
• 
  Xianpei Han, Le Sun:
  Distant Supervision via Prototype-Based Global Representation Learning. 3443-3449
• 
  Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
  What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. 3450-3456
• 
  Zhanming Jie, Aldrian Obaja Muis, Wei Lu:
  Efficient Dependency-Guided Named Entity Recognition. 3457-3465
• 
  Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka:
  Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks. 3466-3473
• 
  Bing Li, Xiaochun Yang, Bin Wang, Wei Cui:
  Efficiently Mining High Quality Phrases from Texts. 3474-3481
• 
  Hao Li, Wei Lu:
  Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis. 3482-3489
• 
  Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu:
  Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. 3490-3496
• 
  Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
  Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. 3497-3503
• 
  Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
  Collaborative User Clustering for Short Text Streams. 3504-3510
• 
  Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
  Word Embedding Based Correlation Model for Question/Answer Matching. 3511-3517
• 
  Jin-ge Yao, Xiaojun Wan:
  Greedy Flipping for Constrained Word Deletion. 3518-3524
• 
  Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang:
  Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. 3525-3531
• 
  Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang:
  Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning. 3532-3539

Planning and Scheduling

• 
  Meysam Aghighi, Christer Bäckström:
  Plan Reordering and Parallel Execution - A Parameterized Complexity View. 3540-3546
• 
  Alessandro Cimatti, Andrea Micheli, Marco Roveri:
  Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic. 3547-3554
• 
  Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
  On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment. 3555-3561
• 
  Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
  Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. 3562-3568
• 
  Hugo Gilbert, Paul Weng, Yan Xu:
  Optimizing Quantiles in Preference-Based Markov Decision Processes. 3569-3575
• 
  Steven James, George Konidaris, Benjamin Rosman:
  An Analysis of Monte Carlo Tree Search. 3576-3582
• 
  Zhuoru Li, Akshay Narayan, Tze-Yun Leong:
  An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. 3583-3589
• 
  Nir Lipovetzky, Hector Geffner:
  Best-First Width Search: Exploration and Exploitation in Classical Planning. 3590-3596
• 
  Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel:
  Robust Execution of Probabilistic Temporal Plans. 3597-3604
• 
  Hang Ma, T. K. Satish Kumar, Sven Koenig:
  Multi-Agent Path Finding with Delay Probabilities. 3605-3612
• 
  Brent Mombourquette, Christian J. Muise, Sheila A. McIlraith:
  Logical Filtering and Smoothing: State Estimation in Partially Observable Domains. 3613-3621
• 
  Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
  Landmark-Based Heuristics for Goal Recognition. 3622-3628
• 
  Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
  Fast SSP Solvers Using Short-Sighted Labeling. 3629-3635
• 
  Florian Pommerening, Malte Helmert, Blai Bonet:
  Higher-Dimensional Potential Heuristics for Optimal Classical Planning. 3636-3643
• 
  Jussi Rintanen:
  Schematic Invariants by Reduction to Ground Invariants. 3644-3650
• 
  Jendrik Seipp, Thomas Keller, Malte Helmert:
  Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. 3651-3657
• 
  Vikas Shivashankar, Ron Alford, David W. Aha:
  Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. 3658-3664
• 
  Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu:
  Computational Issues in Time-Inconsistent Planning. 3665-3671
• 
  Erwin Walraven, Matthijs T. J. Spaan:
  Accelerated Vector Pruning for Optimal POMDP Solvers. 3672-3678
• 
  Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra:
  When to Reset Your Keys: Optimal Timing of Security Updates via Learning. 3679-3685
• 
  Hankz Hankui Zhuo:
  Human-Aware Plan Recognition. 3686-3693

Reasoning under Uncertainty

• 
  Mario Alviano, Giovanni Amendola, Rafael Peñaloza:
  Minimal Undefinedness for Fuzzy Answer Sets. 3694-3700
• 
  Vaishak Belle:
  Open-Universe Weighted Model Counting. 3701-3708
• 
  Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini:
  Deterministic versus Probabilistic Methods for Searching for an Evasive Target. 3709-3715
• 
  Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith:
  Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces. 3716-3724
• 
  Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic:
  Optimizing Expectation with Guarantees in POMDPs. 3725-3732
• 
  Shanbo Chu, Yong Jiang, Kewei Tu:
  Latent Dependency Forest Models. 3733-3739
• 
  Juan D. Correa, Elias Bareinboim:
  Causal Effect Identification by Adjustment under Confounding and Selection Biases. 3740-3746
• 
  Wolfgang Gatterbauer:
  The Linearization of Belief Propagation on Pairwise Markov Random Fields. 3747-3753
• 
  Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann:
  The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. 3754-3760
• 
  Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan:
  Misspecified Linear Bandits. 3761-3767
• 
  Xiaowei Huang, Marta Zofia Kwiatkowska:
  Reasoning about Cognitive Trust in Stochastic Multiagent Systems. 3768-3774
• 
  Radu Marinescu, Junkyu Lee, Alexander T. Ihler, Rina Dechter:
  Anytime Best+Depth-First Search for Bounding Marginal MAP. 3775-3782
• 
  Radu Marinescu, Abdul Razak, Nic Wilson:
  Multi-Objective Influence Diagrams with Possibly Optimal Policies. 3783-3789
• 
  Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
  Hindsight Optimization for Hybrid State and Action MDPs. 3790-3796
• 
  Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf:
  I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. 3797-3803
• 
  Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
  Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. 3804-3811

Robotics

• 
  Olov Andersson, Mariusz Wzorek, Patrick Doherty:
  Deep Learning Quadcopter Control via Risk-Aware Active Learning. 3812-3818
• 
  Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn:
  Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. 3819-3826
• 
  Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
  Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. 3827-3833
• 
  Josiah P. Hanna, Peter Stone:
  Grounded Action Transformation for Robot Learning in Simulation. 3834-3840
• 
  Hao Xiong, Dacheng Tao:
  A Diversified Generative Latent Variable Model for WiFi-SLAM. 3841-3847
• 
  Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva:
  Associate Latent Encodings in Learning from Demonstrations. 3848-3854
• 
  Shiqi Zhang, Piyush Khandelwal, Peter Stone:
  Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. 3855-3863

Search and Constraint Satisfaction

• 
  Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
  A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem. 3864-3870
• 
  Achref El Mouelhi:
  A BTP-Based Family of Variable Elimination Rules for Binary CSPs. 3871-3877
• 
  Marcelo Finger, Glauber De Bona:
  Algorithms for Deciding Counting Quantifiers over Unary Predicates. 3878-3884
• 
  Daniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia:
  Maximum Model Counting. 3885-3892
• 
  Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton:
  Phase Transitions for Scale-Free SAT Formulas. 3893-3899
• 
  Lane A. Hemaspaandra, David E. Narváez:
  The Opacity of Backbones. 3900-3906
• 
  Ruth Hoffmann, Ciaran McCreesh, Craig Reilly:
  Between Subgraph Isomorphism and Maximum Common Subgraph. 3907-3914
• 
  Sixue Liu, Gerard de Melo:
  Should Algorithms for Random SAT and Max-SAT Be Different? 3915-3921
• 
  Guillaume Perez, Jean-Charles Régin:
  Soft and Cost MDD Propagators. 3922-3928
• 
  M. S. Ramanujan, Stefan Szeider:
  Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable. 3929-3935
• 
  Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth:
  RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. 3936-3943
• 
  Cornelis Jan van Leeuwen, Przemyslaw Pawelczak:
  CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver. 3944-3950
• 
  Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus:
  Extending Compact-Table to Negative and Short Tables. 3951-3957
• 
  Colin Wei, Stefano Ermon:
  General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis. 3958-3966

Vision

• 
  Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki:
  Regularized Diffusion Process for Visual Retrieval. 3967-3973
• 
  Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
  Collective Deep Quantization for Efficient Cross-Modal Retrieval. 3974-3980
• 
  Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han:
  Reference Based LSTM for Image Captioning. 3981-3987
• 
  Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
  A Multi-Task Deep Network for Person Re-Identification. 3988-3994
• 
  Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
  VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. 3995-4001
• 
  Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang:
  Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. 4002-4008
• 
  Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu:
  Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. 4009-4015
• 
  Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
  Sherlock: Scalable Fact Learning in Images. 4016-4024
• 
  Heng Fan, Jinhai Xiang:
  Robust Visual Tracking via Local-Global Correlation Filter. 4025-4031
• 
  Chuang Gan, Chen Sun, Ram Nevatia:
  DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. 4032-4038
• 
  Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji:
  Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. 4039-4045
• 
  Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
  Active Video Summarization: Customized Summaries via On-line Interaction with the User. 4046-4052
• 
  Jun Guo, Hongyang Chao:
  Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution. 4053-4060
• 
  Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
  Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. 4061-4067
• 
  Emily M. Hand, Rama Chellappa:
  Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification. 4068-4074
• 
  Xiangteng He, Yuxin Peng:
  Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification. 4075-4081
• 
  Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
  Video Recovery via Learning Variation and Consistency of Images. 4082-4088
• 
  Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
  Nonnegative Orthogonal Graph Matching. 4089-4095
• 
  Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
  Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. 4096-4102
• 
  Chulmoo Kang, Gunhee Kim, Suk I. Yoo:
  Detection and Recognition of Text Embedded in Online Images via Neural Context Models. 4103-4110
• 
  Suha Kwak, Seunghoon Hong, Bohyung Han:
  Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. 4111-4117
• 
  Xiangyuan Lan, Pong C. Yuen, Rama Chellappa:
  Robust MIL-Based Feature Template Learning for Object Tracking. 4118-4125
• 
  Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang:
  Learning Patch-Based Dynamic Graph for Visual Tracking. 4126-4132
• 
  Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian:
  Image Caption with Global-Local Attention. 4133-4139
• 
  Siyi Li, Dit-Yan Yeung:
  Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. 4140-4146
• 
  Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang:
  A Multiview-Based Parameter Free Framework for Group Detection. 4147-4153
• 
  Zechao Li, Jinhui Tang:
  Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment. 4154-4160
• 
  Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu:
  TextBoxes: A Fast Text Detector with a Single Deep Neural Network. 4161-4167
• 
  Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu:
  An Artificial Agent for Robust Image Registration. 4168-4175
• 
  Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
  Attention Correctness in Neural Image Captioning. 4176-4182
• 
  Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
  Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. 4183-4189
• 
  Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
  Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. 4190-4196
• 
  Yuan Liu, Xue Li, Zhongchao Shi:
  Video Captioning with Listwise Supervision. 4197-4203
• 
  Yao Lu, Linda G. Shapiro:
  Closing the Loop for Edge Detection and Object Proposals. 4204-4210
• 
  Chenxu Luo, Chang Ma, Chun-yu Wang, Yizhou Wang:
  Learning Discriminative Activated Simplices for Action Recognition. 4211-4217
• 
  Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou:
  Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. 4218-4224
• 
  Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler:
  Online Multi-Target Tracking Using Recurrent Neural Networks. 4225-4232
• 
  Jonghwan Mun, Minsu Cho, Bohyung Han:
  Text-Guided Attention Model for Image Captioning. 4233-4239
• 
  Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong:
  Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. 4240-4246
• 
  A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo:
  Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. 4247-4254
• 
  Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang:
  Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. 4255-4262
• 
  Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu:
  An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data. 4263-4270
• 
  Xinhang Song, Luis Herranz, Shuqiang Jiang:
  Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. 4271-4277
• 
  Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi:
  Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. 4278-4284
• 
  Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
  Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. 4285-4291
• 
  Qi Wang, Mulin Chen, Xuelong Li:
  Quantifying and Detecting Collective Motion by Manifold Learning. 4292-4298
• 
  Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu:
  Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. 4299-4305
• 
  Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li:
  Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. 4306-4312
• 
  Arjun Yogeswaran, Pierre Payeur:
  Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines. 4313-4319
• 
  Tan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan:
  Efficient Object Instance Search Using Fuzzy Objects Matching. 4320-4326
• 
  Xin Yu, Fatih Porikli:
  Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. 4327-4333
• 
  Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
  Leveraging Video Descriptions to Learn Video Question Answering. 4334-4340
• 
  Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng:
  Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image. 4341-4348

Special Track on Cognitive Systems

• 
  Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn:
  Natural Language Acquisition and Grounding for Embodied Robotic Systems. 4349-4356
• 
  Joseph A. Blass, Kenneth D. Forbus:
  Analogical Chaining with Natural Language Instruction for Commonsense Reasoning. 4357-4363
• 
  Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
  Inductive Reasoning about Ontologies Using Conceptual Spaces. 4364-4370
• 
  Mason Bretan, Gil Weinberg:
  Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot. 4371-4377
• 
  Guillem Collell, Ted Zhang, Marie-Francine Moens:
  Imagined Visual Representations as Multimodal Embeddings. 4378-4384
• 
  Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta:
  Goal Operations for Cognitive Systems. 4385-4391
• 
  Wang-Zhou Dai, Zhi-Hua Zhou:
  Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. 4392-4398
• 
  Elias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts:
  Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game. 4399-4405
• 
  Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick:
  Towards Continuous Scientific Data Analysis and Hypothesis Evolution. 4406-4414
• 
  Pat Langley, Adam Arvay:
  Flexible Model Induction through Heuristic Process Discovery. 4415-4421
• 
  Smitha Milli, Falk Lieder, Thomas L. Griffiths:
  When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? 4422-4428
• 
  Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya:
  Scanpath Complexity: Modeling Reading Effort Using Gaze Information. 4429-4436
• 
  Abhishek Sharma, Keith M. Goolsbey:
  Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis. 4437-4443
• 
  Robert Speer, Joshua Chin, Catherine Havasi:
  ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. 4444-4451
• 
  Budhitama Subagdja, Ah-Hwee Tan:
  Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. 4452-4458
• 
  Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley:
  Semantic Proto-Role Labeling. 4459-4466

Special Track on Computational Sustainability

• 
  Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse:
  Matrix Factorisation for Scalable Energy Breakdown. 4467-4473
• 
  Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal:
  Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. 4474-4480
• 
  Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath:
  Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. 4481-4487
• 
  Leonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi:
  Counting-Based Reliability Estimation for Power-Transmission Grids. 4488-4494
• 
  Yann Dujardin, Tom Dietterich, Iadine Chades:
  Three New Algorithms to Solve N-POMDPs. 4495-4501
• 
  Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
  Fine-Grained Car Detection for Visual Census Estimation. 4502-4508
• 
  André Ricardo Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
  Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. 4509-4515
• 
  Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson:
  Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. 4516-4523
• 
  Alameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga:
  Combining Satellite Imagery and Open Data to Map Road Safety. 4524-4530
• 
  Martin Péron, Kai Helge Becker, Peter L. Bartlett, Iadine Chades:
  Fast-Tracking Stationary MOMDPs for Adaptive Management Problems. 4531-4537
• 
  Thuy Vu, Douglas Stott Parker:
  Extracting Urban Microclimates from Electricity Bills. 4538-4544
• 
  XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
  Robust Optimization for Tree-Structured Stochastic Network Design. 4545-4551
• 
  Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes:
  Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. 4552-4558
• 
  Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon:
  Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. 4559-4566

Special Track on Integrated Systems

• 
  Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng:
  Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease. 4567-4573
• 
  Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
  Mixed Discrete-Continuous Planning with Convex Optimization. 4574-4580
• 
  Richard G. Freedman, Shlomo Zilberstein:
  Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. 4581-4588
• 
  Uwe Köckemann, Lars Karlsson:
  Configuration Planning with Temporal Constraints. 4589-4595
• 
  Yosef Razin, Karen M. Feigh:
  Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination. 4596-4602
• 
  Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh:
  Vision-Language Fusion for Object Recognition. 4603-4610
• 
  Shirin Sohrabi, Anton V. Riabov, Octavian Udrea:
  State Projection via AI Planning. 4611-4617
• 
  Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li:
  Building Task-Oriented Dialogue Systems for Online Shopping. 4618-4626

Innovative Applications of Artificial Intelligence Conference: Deployed Application Case Studies

• 
  Faizan Javed, Phuong Hoang, Thomas Mahoney, Matt McNair:
  Large-Scale Occupational Skills Normalization for Online Recruitment. 4627-4634
• 
  Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
  Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. 4635-4643

Innovative Applications of Artificial Intelligence Conference: Emerging Application Case Studies

• 
  Rabah A. Al-Zaidy, C. Lee Giles:
  A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents. 4644-4649
• 
  Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan:
  ParkUs: A Novel Vehicle Parking Detection System. 4650-4656
• 
  Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati:
  UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. 4657-4663
• 
  Manal Chokr, Shady Elbassuoni:
  Calories Prediction from Food Images. 4664-4669
• 
  Negar Ghourchian, Michel Allegue-Martínez, Doina Precup:
  Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning. 4670-4677
• 
  Arnaud Gotlieb, Marine Louarn, Mari Nygård, Tomás Ruiz-López, Sagar Sen, Roberta Gori:
  Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening. 4678-4685
• 
  Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno:
  Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. 4686-4693
• 
  Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam:
  Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics. 4694-4700
• 
  Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan:
  Determining Relative Airport Threats from News and Social Media. 4701-4707
• 
  John Krumm, Eric Horvitz:
  Risk-Aware Planning: Methods and Case Study for Safer Driving Routes. 4708-4714
• 
  Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone:
  Designing Better Playlists with Monte Carlo Tree Search. 4715-4720
• 
  Shiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli:
  On Designing a Social Coach to Promote Regular Aerobic Exercise. 4721-4727
• 
  Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
  Crowdsensing Air Quality with Camera-Enabled Mobile Devices. 4728-4733
• 
  Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro:
  Optimal Sequential Drilling for Hydrocarbon Field Development Planning. 4734-4739
• 
  Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill:
  Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. 4740-4745
• 
  Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya:
  Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. 4746-4752
• 
  Yi Wang, Joohyung Lee, Doo Soon Kim:
  A Logic Based Approach to Answering Questions about Alternatives in DIY Domains. 4753-4759

Innovative Applications of Artificial Intelligence Conference: Challenge Problem Papers

• 
  Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh:
  Automated Data Cleansing through Meta-Learning. 4760-4761
• 
  Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi:
  Explainable Agency for Intelligent Autonomous Systems. 4762-4764

Educational Advances in Artificial Intelligence Symposium Full Papers

• 
  Debra T. Burhans, Karthik Dantu:
  ARTY: Fueling Creativity through Art, Robotics and Technology for Youth. 4765-4770
• 
  Nate Derbinsky, Tyler M. Frasca:
  Cornhole: A Widely-Accessible AI Robotics Task. 4771-4774
• 
  Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart:
  A Summer Research Experience in Robotics. 4775-4780
• 
  Susan P. Imberman, Jean McManus, Gina Otts:
  Creating Serious Robots That Improve Society. 4781-4785
• 
  Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles:
  Recovering Concept Prerequisite Relations from University Course Dependencies. 4786-4791
• 
  David R. Musicant, Abha Laddha, Tom Choi:
  Open-Ended Robotics Exploration Projects for Budding Researchers. 4792-4797
• 
  Paul Ruvolo:
  Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics. 4798-4802
• 
  Zuozhi Yang, Todd W. Neller:
  A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS. 4803-4805
• 
  Andy Zhang, John Lee, Ciante Jones, Zachary Dodds:
  An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects. 4806-4812

Educational Advances in Artificial Intelligence Symposium Poster Papers

• 
  Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada:
  Application for AI-OCR Module: Auto Detection of Emails/Letter Images. 4813-4814
• 
  Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada:
  Exploring Artificial Intelligence Through Image Recognition. 4815-4816
• 
  Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suarez, Yuanlin Zhang:
  Online SPARC for Drawing and Animation. 4817-4818
• 
  Matthew E. Taylor, Sakire Arslan Ay:
  AI Projects for Computer Science Capstone Classes (Extended Abstract). 4819-4821

Educational Advances in Artificial Intelligence Symposium Model AI Assignments

• 
  Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason M. Bindewald, Gilbert L. Peterson, Thomas Way, Paula Matuszek, Lillian N. Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman:
  Model AI Assignments 2017. 4822-4825

Senior Member Blue Sky

• 
  David W. Aha, Alexandra Coman:
  The AI Rebellion: Changing the Narrative. 4826-4830
• 
  Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer:
  Moral Decision Making Frameworks for Artificial Intelligence. 4831-4835
• 
  Judy Goldsmith, Emanuelle Burton:
  Why Teaching Ethics to AI Practitioners Is Important. 4836-4840
• 
  Tomasz P. Michalak, Talal Rahwan, Michael Wooldridge:
  Strategic Social Network Analysis. 4841-4845
• 
  Gilles Pesant:
  Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems. 4846-4851

Senior Member Summary Talks

• 
  Douglas H. Fisher:
  A Selected Summary of AI for Computational Sustainability. 4852-4857
• 
  Eugene C. Freuder:
  Explaining Ourselves: Human-Aware Constraint Reasoning. 4858-4862
• 
  Maria L. Gini:
  Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints. 4863-4869
• 
  Pat Langley:
  Progress and Challenges in Research on Cognitive Architectures. 4870-4876
• 
  Vincent Ng:
  Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research. 4877-4884
• 
  Dan Roth:
  Incidental Supervision: Moving beyond Supervised Learning. 4885-4890
• 
  Nevin L. Zhang, Leonard K. M. Poon:
  Latent Tree Analysis. 4891-4898

Student Abstracts

• 
  Piotr Antonik, Marc Haelterman, Serge Massar:
  Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning. 4899-4900
• 
  Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
  Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback. 4901-4902
• 
  Masataro Asai, Alex Fukunaga:
  Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). 4903-4904
• 
  Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini:
  Frame-Based Ontology Alignment. 4905-4906
• 
  Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa:
  Learning Options in Multiobjective Reinforcement Learning. 4907-4908
• 
  Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
  Towards User Personality Profiling from Multiple Social Networks. 4909-4910
• 
  Keisuke Daimon, Richard W. Hedley, Charles E. Taylor:
  Semantic Inference of Bird Songs Using Dynamic Bayesian Networks. 4911-4912
• 
  Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa:
  An Advising Framework for Multiagent Reinforcement Learning Systems. 4913-4914
• 
  Jordan DeLoach, Doina Caragea, Xinming Ou:
  Android Malware Detection with Weak Ground Truth Data. 4915-4916
• 
  Wenchao Du, Pascal Poupart, Wei Xu:
  Discovering Conversational Dependencies between Messages in Dialogs. 4917-4918
• 
  Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts:
  Coordinating Human and Agent Behavior in Collective-Risk Scenarios. 4919-4920
• 
  Zack Fitzsimmons, Edith Hemaspaandra:
  The Complexity of Succinct Elections. 4921-4922
• 
  Corina Florescu, Cornelia Caragea:
  A Position-Biased PageRank Algorithm for Keyphrase Extraction. 4923-4924
• 
  Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin:
  Robust Stable Marriage. 4925-4926
• 
  Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
  Handwriting Profiling Using Generative Adversarial Networks. 4927-4928
• 
  Ruben Glatt, Anna Helena Reali Costa:
  Policy Reuse in Deep Reinforcement Learning. 4929-4930
• 
  Josiah P. Hanna, Peter Stone:
  Grounded Action Transformation for Robot Learning in Simulation. 4931-4932
• 
  Josiah P. Hanna, Peter Stone, Scott Niekum:
  Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. 4933-4934
• 
  Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman:
  Fast Electrical Demand Optimization Under Real-Time Pricing. 4935-4936
• 
  Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang:
  SReN: Shape Regression Network for Comic Storyboard Extraction. 4937-4938
• 
  Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
  Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost. 4939-4940
• 
  Vasu Jindal:
  A Deep Learning Approach for Arabic Caption Generation Using Roots-Words. 4941-4942
• 
  Yuu Jinnai, Alex Fukunaga:
  Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains. 4943-4944
• 
  Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui:
  Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering. 4945-4946
• 
  Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein:
  Redesigning Stochastic Environments for Maximized Utility. 4947-4948
• 
  Taylor W. Killian, George Konidaris, Finale Doshi-Velez:
  Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. 4949-4950
• 
  Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie:
  Wikitop: Using Wikipedia Category Network to Generate Topic Trees. 4951-4952
• 
  Dae Hyun Lee, Eric Horvitz:
  Predicting Mortality of Intensive Care Patients via Learning about Hazard. 4953-4954
• 
  Xiaoming Li, Hui Fang, Jie Zhang:
  Rethinking the Link Prediction Problem in Signed Social Networks. 4955-4956
• 
  Fang Liu, Xiaojun Wan:
  ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs. 4957-4958
• 
  Hengshuang Liu, Pengcheng Ai, Junling Chen:
  A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network. 4959-4960
• 
  Jia Liu, Maoguo Gong, Qiguang Miao:
  Neuron Learning Machine for Representation Learning. 4961-4962
• 
  Hanqing Lu, Ming Kong:
  Community-Based Question Answering via Contextual Ranking Metric Network Learning. 4963-4964
• 
  Huan Luo, Cheng Wang, Jonathan Li:
  Auto-Annotation of 3D Objects via ImageNet. 4965-4966
• 
  Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das:
  Semantic Interpretation of Social Network Communities. 4967-4968
• 
  Benjamin Manning:
  Extreme Gradient Boosting and Behavioral Biometrics. 4969-4970
• 
  Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech:
  Plan Recognition Design. 4971-4972
• 
  Shuwa Miura, Alex Fukunaga:
  Automatically Extracting Axioms in Classical Planning. 4973-4974
• 
  Akshay Narayan, Zhuoru Li, Tze-Yun Leong:
  SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. 4975-4976
• 
  Kazuki Nomoto, Yuko Sakurai, Makoto Yokoo:
  Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games. 4977-4978
• 
  Xiaoyu Qi, Deshun Yang, Xiaoou Chen:
  Audio Feature Learning with Triplet-Based Embedding Network. 4979-4980
• 
  Ariel Rao:
  A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems. 4981-4982
• 
  Walid Ahmed Fouad Shalaby, Wlodek Zadrozny:
  Semantic Representation Using Explicit Concept Space Models. 4983-4984
• 
  Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
  A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. 4985-4986
• 
  Nishant Subramani, Doug Downey:
  PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. 4987-4988
• 
  Atena M. Tabakhi:
  Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings. 4989-4990
• 
  Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao:
  Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition. 4991-4992
• 
  Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
  Predicting User Roles from Computer Logs Using Recurrent Neural Networks. 4993-4994
• 
  Sunny Verma, Wei Liu, Chen Wang, Liming Zhu:
  Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. 4995-4996
• 
  Przemyslaw Andrzej Walega:
  Hybridizing Interval Temporal Logics: The First Step. 4997-4998
• 
  Haishuai Wang, Jun Wu:
  Boosting for Real-Time Multivariate Time Series Classification. 4999-5000
• 
  Jiamiao Wang:
  Semantic Connection Based Topic Evolution. 5001-5002
• 
  Qingren Wang, Victor S. Sheng, Xindong Wu:
  Keyphrase Extraction with Sequential Pattern Mining. 5003-5004
• 
  Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere:
  Cycle-Based Singleton Local Consistencies. 5005-5006
• 
  Lianlong Wu, Andrew Markham:
  Evolutionary Machine Learning for RTS Game StarCraft. 5007-5008
• 
  Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer:
  Enhancing the Privacy of Predictors. 5009-5010
• 
  Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu:
  Detecting Review Spammer Groups. 5011-5012
• 
  Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen:
  Attention Based LSTM for Target Dependent Sentiment Classification. 5013-5014
• 
  Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang:
  Authorship Attribution with Topic Drift Model. 5015-5016
• 
  Xiaoyu Zeng, Ruohan Zhang:
  Participatory Art Museum: Collecting and Modeling Crowd Opinions. 5017-5018
• 
  Fandong Zhang, Jufu Feng:
  High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding. 5019-5020
• 
  Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung:
  A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly. 5021-5022
• 
  Tao Zhou, Jie Yu:
  Natural Language Person Retrieval. 5023-5024
• 
  Konrad Zolna, Bartlomiej Romanski:
  User Modeling Using LSTM Networks. 5025-5027

Doctoral Consortium

• 
  Somak Aditya:
  Explainable Image Understanding Using Vision and Reasoning. 5028-5029
• 
  Adam Amos-Binks:
  Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives. 5030-5031
• 
  Muhammad Usman Arif:
  An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams. 5032-5033
• 
  Felipe Leno da Silva, Anna Helena Reali Costa:
  Accelerating Multiagent Reinforcement Learning through Transfer Learning. 5034-5035
• 
  Ruben Glatt, Anna Helena Reali Costa:
  Improving Deep Reinforcement Learning with Knowledge Transfer. 5036-5037
• 
  Yuchen Guo:
  Problems in Large-Scale Image Classification. 5038-5039
• 
  David Isele:
  Representations for Continuous Learning. 5040-5041
• 
  Jia Li:
  Structured Prediction in Time Series Data. 5042-5043
• 
  Feng Liu:
  A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern. 5044-5045
• 
  Anna Lukina:
  V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems. 5046-5047
• 
  Zhengxiang Pan:
  Modelling Familiarity for Intelligent Personalized Social Mobilization. 5048-5049
• 
  Mohammad Rostami:
  Transfer of Knowledge through Collective Learning. 5050-5051
• 
  Wen Song:
  Project Scheduling in Complex Business Environments. 5052-5053
• 
  Przemyslaw Andrzej Walega:
  Human-Like Spatial Reasoning Formalisms. 5054-5055
• 
  Julia Wiedmann:
  Joint Learning of Structural and Textual Features for Web Scale Event Extraction. 5056-5057
• 
  Shandian Zhe:
  Scalable Nonparametric Tensor Analysis. 5058-5060

What's Hot

• 
  Tomás Balyo, Marijn J. H. Heule, Matti Järvisalo:
  SAT Competition 2016: Recent Developments. 5061-5063
• 
  Tobias Friedrich, Frank Neumann:
  What's Hot in Evolutionary Computation. 5064-5066
• 
  Ashok K. Goel, Belén Díaz-Agudo:
  What's Hot in Case-Based Reasoning. 5067-5069
• 
  Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks:
  Automated Negotiating Agents Competition (ANAC). 5070-5072
• 
  Laurent D. Michel, Michel Rueher:
  What's Hot in Constraint Programming. 5073-5075
• 
  Claude-Guy Quimper:
  What's Hot at CPAIOR (Extended Abstract). 5076-5078
• 
  Nathan R. Sturtevant, Brian Magerko:
  The State of the AIIDE Conference in 2017. 5079-5080

Demonstrations

• 
  Mason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, Larry P. Heck:
  Deep Music: Towards Musical Dialogue. 5081-5082
• 
  Yaohua Bu, Taoran Tang, Jia Jia, Zhiyuan Ma, Songyao Wu, Yuming You:
  AniDraw: When Music and Dance Meet Harmoniously. 5083-5084
• 
  Devendra Singh Chaplot, Guillaume Lample:
  Arnold: An Autonomous Agent to Play FPS Games. 5085-5086
• 
  Jingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang:
  A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion. 5087-5088
• 
  Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood:
  Efficient Clinical Concept Extraction in Electronic Medical Records. 5089-5090
• 
  Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi:
  Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. 5091-5092
• 
  Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann:
  Visual Memory QA: Your Personal Photo and Video Search Agent. 5093-5094
• 
  Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman:
  Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. 5095-5096
• 
  Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann:
  An Event Reconstruction Tool for Conflict Monitoring Using Social Media. 5097-5098
• 
  Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
  Webly-Supervised Learning of Multimodal Video Detectors. 5099-5100
• 
  Jiayu Long, Jia Jia, Han Xu:
  SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences. 5101-5102
• 
  Ian Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark H. Burstein, Scott E. Friedman, David D. McDonald, Jeffrey M. Rye:
  Natural Language Dialogue for Building and Learning Models and Structures. 5103-5104
• 
  Joern Ploennigs, Anika Schumann:
  From Semantic Models to Cognitive Buildings. 5105-